The research objective is to evaluate the teacher professional training (TPT) programs using context, input, process, and product (CIPP) models. 80 teachers who had completed the TPT programs in Faculty of Economics, Universitas Negeri Medan, participated as the respondents. The researchers collecting the data using survey-based questionnaire and analyze it using descriptive statistics. The results of this evaluation study indicate the dominant aspects of the implementation of TPT programs as follows (1) Context aspect shows that TPT programs are useful in teacher professional development;(2) Input aspect shows that schools are qualified and cooperative in implementing field experience in the sub of TPT programs;(3) Process aspect shows that material content of performance tests are relevant to the criteria of teacher on pedagogical and professional competence; and (4) product aspect shows that the TPT programs affect changes in teaching methods in schools.
This paper analyzes the impact of fuel subsidy diversion to Non-Food Crops sector on income levels, using AGEFIS; a Computable General Equilibrium model. Then we proceed to apply the Foster-Greer-Thorbecke (FGT) index to measure the indicators of poverty (head count index, poverty gap index and poverty severity index). The simulation result shows the fuel subsidy diversion to Non-Food Crops sector provides a positive impact on increasing household incomes and poverty reduction. Furthermore, the fuel subsidy diversion to Non-Food Crops sector reduces the poverty of rural household, larger than the urban households. Keywords: Subsidy, poverty, computable general equilibrium, AGEFIS.JEL Classification: C68, E62, I32
This study aims to analyze the influence of the area of oil palm plantations, oil palm production, and the number of the agricultural sector workforce on the agricultural sector PDRB in North Sumatra province. The data used are secondary data sourced from BPS North Sumatra province, namely PDRB variable in the agricultural sector, area of oil palm, palm oil production and the number of agricultural sector workforce in North Sumatra province in time series from 2008 to.d. 2017 in five districts namely, Asahan, Langkat, Labuhanbatu Utara, Labuhanbatu Selatan and Labuhan Batu districts. Data analysis was performed using the OLS (Ordinary Least Square) method with a panel data regression estimation model using the help of Eviews 10. The results of this study simultaneously showed that changes in the independent variables of land area, production and the total workforce of the agricultural sector together influenced Agricultural Sector PDRB variable significantly. While partially concluded that the variable area of land and oil palm production had a positive and significant effect on the PDRB of the agricultural sector in North Sumatra province, while the variable labor force in the agricultural sector had a negative effect on the PDRB of the agricultural sector in North Sumatra province.
This study aims to determine the factors that have dominant influence to domestic prices of rice. Ordinary Least Square is used to run model with time series data from BPS. The results of the study we found that domestic rice production and the exchange rate have negative effect on domestic rice prices, in contrast the international rice price and the level of income per capita. Domestic production of rice and international prices of rice do not significantly affect domestic prices of rice, while the exchange rate and per capita income significantly affect domestic prices of rice respectively at the alpha level of 10 and 1 percent. Per capita income is a the greatest influence on the formation of domestic prices of rice by the estimated coefficient of 3.5985. This condition also describe the level of society's dependence on rice consumption. The high of difference of domestic price of rice with the international rice prices can be detrimental to the community while providing a strong emphasis on increasing imports of rice as well as trigger the illegal market.
Indonesia is known as a developing country which industrial production has not been sustainable to the local demand. This is reflected in Indonesia's dependence on other countries in terms of consumer goods, raw and auxiliary materials as well as capital goods. Indonesia carries out import activities because most domestic products have not been able to compete with foreign products, and there is a sense of grandeur for the people when they are able to buy goods from abroad. The purpose of this study is to analyze the effect of gross domestic product (GDP), foreign exchange reserves, exchange rates and inflation on imports in Indonesia in 2000 - 2019. The method of analysis in this study uses the Error Correction Model (ECM). The estimation results show that in the short term, the variable gross domestic product (GDP), foreign exchange reserves and inflation have a positive and significant effect on imports in Indonesia, while in the long run, all variables have a significant and significant effect on imports in Indonesia. In this case, the support of the government and producers by providing good quality production will greatly assist in the development of the domestic industry, so that the Indonesian people turn to domestic products again.
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